class_docstr: A posterior based on GPyTorch's multi-variate Normal distributions.
docstr: Expose the distribution as a backwards-compatible attribute.
docstr_tok: ["Expose","the","distribution","as","a","backwards-compatible","attribute","."]
code: def mvn(self) -> MultivariateNormal:
      r"""Expose the distribution as a backwards-compatible attribute."""
      return self.distribution
  
imports: from __future__ import annotations
  import warnings
  from contextlib import ExitStack
  from typing import Optional, Tuple, TYPE_CHECKING, Union
  import torch
  from botorch.exceptions.errors import BotorchTensorDimensionError
  from botorch.posteriors.base_samples import _reshape_base_samples_non_interleaved
  from botorch.posteriors.torch import TorchPosterior
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from linear_operator import settings
  from linear_operator.operators import BlockDiagLinearOperator, DenseLinearOperator, LinearOperator, SumLinearOperator
  from torch import Tensor
  from torch.distributions import Normal
label_desc: Use image node_id 2 for calling the GPyTorchPosterior obj's underlying member method code with example usage: obj.mvn() and returns: self